Author(s)

M. HASEBE, T. KUMEKAWA & Y.NAGAYAMA

Abstract

Reservoir Operation for Flood Control by both Fuzzy and Neural Networks System M. HASEBE, T. KUMEKAWA & Y.NAGAYAMA Department of Civil Engineering, University of Utsunomiya, 2753 Ishii,Utsunomiya, Japan, Utsunomiya Technical High School, Utsunomiya, Japan, Division of Civil Engineers, Tochigi Prefectural Government, Sano, Japan Email: hasebe@cc.utsunomiya-u.ac.jp ABSTRACT Recently, fuzzy set theory and neural networks system are advanced in many engineering field. The automatic reservoir operation for flood control is generally designed to lighten a troublesome workload for the administrator of dam in Japan. Therefore, in this study, the author’s apply two systems of fuzzy and neural networks to the reservoir operation for flood control. The author’s consider to put the control rules of reservoir operation, the information obtained by inquires to actual reservoir operator and the hydrological characteristics in the basin, into the reservoir operation of the dam supporting system. This system o

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